Liquid Metal-Induced Self-Healing Interface and 3D Porous Configuration Enable a High-Performance Si/Carbon Anode for Lithium-Ion Storage
Source abstract
Abstract
Ga-based liquid metals (LMs) have emerged as pivotal materials for optimizing the electrochemical performance of electrode materials due to their intrinsic dynamic adaptability, self-healing capability, and exceptional conductivity. However, conventional LM fabrication methods typically produce oversized particulates, resulting in poor lithium-ion diffusivity. Herein, we designed a three-dimensional porous silicon/carbon composite (GaIn-Si@PCC) through a dual-carbon precursor strategy combined with freeze-drying and a thermal reduction process, where silicon nanoparticles were well encapsulated into a porous carbon framework decorated with GaIn LMs. The GaIn phase dynamically alleviates lithiation-induced stress via plastic deformation and enables crack self-healing during delithiation, synergizing with the robust carbon skeleton to ensure structural integrity. Theoretical calculations further reveal that GaIn LMs optimize Li + adsorption–diffusion equilibrium, while the continuous conductive network collectively enhances ion/electron transport kinetics, thereby obtaining a stable and inorganic-rich solid electrolyte interphase interface. Consequently, the GaIn-Si@PCC anode delivers a high initial Coulombic efficiency (87.3%) and exceptional cycling stability (1595.4 mAh g –1 after 200 cycles at 0.2 A g –1 ). When paired with a commercial NCM811 cathode, the full cell maintains 86.8% capacity retention after 100 cycles at 0.5C. This work provides a multiscale design paradigm combining dynamic stress management and ion regulation for high-performance silicon-based energy storage systems.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Supercapacitor Materials and Fabrication
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Nanochemistry and Nanobiology, School of Environmental and Chemical Engineering
Shanghai University
Materials Genome Institute
Research Centre of Nanoscience and Nanotechnology
Emerging Industries Institute
Funding
Natural Science Foundation of Shanghai Municipality · Shanghai Key Laboratory of Green Chemistry and Chemical Processes · State Key Laboratory of Advanced Fibers Materials
References (64)
Show source-provided references
1. 10.1002/adfm.20250015410.1002/adfm.202500154 ↗
2. 10.1002/adfm.20250427210.1002/adfm.202504272 ↗
3. 10.1002/adfm.20231656810.1002/adfm.202316568 ↗
4. 10.1039/D3IM00115F10.1039/D3IM00115F ↗
5. 10.1002/adma.20130275710.1002/adma.201302757 ↗
6. 10.1002/aenm.20160090410.1002/aenm.201600904 ↗
7. 10.1016/j.jechem.2018.07.00810.1016/j.jechem.2018.07.008 ↗
8. 10.1002/smll.20170261410.1002/smll.201702614 ↗
9. 10.1002/aenm.20160148110.1002/aenm.201601481 ↗
10. 10.1002/adfm.20250520710.1002/adfm.202505207 ↗
11. 10.1002/adma.20150472310.1002/adma.201504723 ↗
12. 10.1016/j.chempr.2017.09.00410.1016/j.chempr.2017.09.004 ↗
13. 10.1002/aenm.20150017410.1002/aenm.201500174 ↗
14. 10.1021/acsaem.8b0002210.1021/acsaem.8b00022 ↗
15. 10.1002/aenm.20210356510.1002/aenm.202103565 ↗
16. 10.1016/j.matt.2025.10198610.1016/j.matt.2025.101986 ↗
17. 10.1039/D2EE02147A10.1039/D2EE02147A ↗
18. 10.1002/anie.20242102010.1002/anie.202421020 ↗
19. 10.1039/C7EE01798G10.1039/C7EE01798G ↗
20. 10.1002/cplu.20230076710.1002/cplu.202300767 ↗
21. 10.1002/adfm.20241084310.1002/adfm.202410843 ↗
22. 10.1021/acs.nanolett.1c0252110.1021/acs.nanolett.1c02521 ↗
23. 10.1016/j.ensm.2024.10354710.1016/j.ensm.2024.103547 ↗
24. 10.1002/adfm.20250454510.1002/adfm.202504545 ↗
25. 10.1038/s41467-019-09510-510.1038/s41467-019-09510-5 ↗
26. 10.1002/aenm.20210210310.1002/aenm.202102103 ↗
27. 10.1021/acsnano.6b0677810.1021/acsnano.6b06778 ↗
28. 10.1007/s40820-021-00601-x10.1007/s40820-021-00601-x ↗
29. 10.1007/s11426-020-9942-910.1007/s11426-020-9942-9 ↗
30. 10.1016/j.jechem.2022.05.01810.1016/j.jechem.2022.05.018 ↗
31. 10.1016/j.spmi.2018.05.02710.1016/j.spmi.2018.05.027 ↗
32. 10.1016/j.electacta.2021.13946110.1016/j.electacta.2021.139461 ↗
33. 10.1016/j.susc.2021.12200810.1016/j.susc.2021.122008 ↗
34. 10.1002/smll.20160195910.1002/smll.201601959 ↗
35. 10.1016/j.carbon.2015.11.06810.1016/j.carbon.2015.11.068 ↗
36. 10.1021/acsnano.0c0197610.1021/acsnano.0c01976 ↗
37. 10.1002/adma.20130153010.1002/adma.201301530 ↗
38. 10.1016/j.carbon.2021.05.02410.1016/j.carbon.2021.05.024 ↗
39. 10.1016/j.ensm.2021.12.01710.1016/j.ensm.2021.12.017 ↗
40. 10.1093/nsr/nwab01210.1093/nsr/nwab012 ↗
41. 10.1039/D4EE00710G10.1039/D4EE00710G ↗
42. 10.1016/j.jcis.2022.07.18610.1016/j.jcis.2022.07.186 ↗
43. 10.1016/j.apmt.2022.10140310.1016/j.apmt.2022.101403 ↗
44. 10.1016/j.susmat.2022.e0041010.1016/j.susmat.2022.e00410 ↗
45. 10.1016/j.jechem.2022.10.04410.1016/j.jechem.2022.10.044 ↗
46. 10.1002/adma.20220067210.1002/adma.202200672 ↗
47. 10.1021/acsami.3c0956110.1021/acsami.3c09561 ↗
48. 10.1016/j.ensm.2023.01.02510.1016/j.ensm.2023.01.025 ↗
49. 10.1016/j.matdes.2023.11162410.1016/j.matdes.2023.111624 ↗
50. 10.1016/j.cclet.2023.10892310.1016/j.cclet.2023.108923 ↗
51. 10.1016/j.jallcom.2023.17186010.1016/j.jallcom.2023.171860 ↗
52. 10.1002/adma.20230790810.1002/adma.202307908 ↗
53. 10.1002/adfm.20231568010.1002/adfm.202315680 ↗
54. 10.1002/adfm.20241083910.1002/adfm.202410839 ↗
55. 10.1021/acsami.3c1911410.1021/acsami.3c19114 ↗
56. 10.1002/adma.20170543010.1002/adma.201705430 ↗
57. 10.1002/adma.20210965810.1002/adma.202109658 ↗
58. 10.1002/smll.20240756010.1002/smll.202407560 ↗
59. 10.1126/sciadv.abi552010.1126/sciadv.abi5520 ↗
60. 10.1103/PhysRevLett.51.188810.1103/PhysRevLett.51.1888 ↗
61. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
62. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
63. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
64. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗